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Senior Applied Scientist
4 weeks ago
We are seeking a highly skilled Senior Applied Scientist to join our Healthcare AI team at AWS. As a key member of our team, you will be responsible for designing, training, and deploying machine learning models to solve complex healthcare challenges.
As a Senior Applied Scientist, you will work closely with our team of Clinical experts, researchers, and engineers to develop novel algorithms and modeling techniques for multimodal systems. You will apply the latest deep learning, Gen AI, and natural language processing techniques to build model-based solutions in the Health domain.
Key responsibilities include:
- Applying latest deep learning and natural language processing techniques to ship new features for our customers
- Converting ambiguous business questions into precise science problems
- Regularly shipping deep learning models and natural language processing models that run at AWS scale
- Collaborating with engineers, clinical experts, and product managers to deliver solutions
We are looking for candidates with a strong background in deep learning and multimodal systems, passion for applying AI to healthcare challenges, and ability to lead and mentor research teams. Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, and large-scale distributed systems such as Hadoop, Spark is a plus.
As a Senior Applied Scientist at AWS, you will have the opportunity to work on cutting-edge research and publish in top-tier conferences and journals. You will also have the chance to influence product and leaders, and contribute to innovative features, improve our services based on customer requirements, and help maintain a highly scalable data and model management infrastructure.
Basic qualifications include 5+ years of building machine learning models for business application experience, PhD or Master's degree and 6+ years of applied research experience, and experience programming in Java, C++, Python or related language. Preferred qualifications include experience with modeling tools, large-scale distributed systems, and expertise in areas such as medical imaging, medical notes, ontologies, genomics, or clinical decision support.
We value diverse experiences and encourage candidates from diverse backgrounds to apply. We offer a competitive compensation package, including equity, sign-on payments, and other forms of compensation, in addition to a full range of medical, financial, and/or other benefits.
Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/disability-accommodations/.
